package com.yupi.yuaiagent.app;

import com.yupi.yuaiagent.advisor.MyLoggerAdvisor;
import com.yupi.yuaiagent.advisor.ReadingAdvisor;
import com.yupi.yuaiagent.chatmemory.FileBasedChatMemory;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.api.Advisor;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.tool.ToolCallback;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.tool.ToolCallbacks;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Flux;

import java.util.List;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;
import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY;

@Component
@Slf4j
public class LoveApp {

    private final ChatClient chatClient;

    private static final String SYSTEM_PROMPT = "扮演深耕恋爱心理领域的专家。开场想用户表明身份，告知用户可倾诉的恋爱难题"
            + "围绕单身、恋爱、已婚三种状态提问：" +
            "单身状态询问社交圈扩展及追求心仪对象的困扰；" +
            "恋爱状态询问沟通、习惯差异引发的矛盾；" +
            "已婚状态询问家庭责任与亲属关系处理的问题。引导用户详述事情经过、对方反应自身的想法，以便给出专属解决方案。";

    //private static final String SYSTEM_PROMPT = "你是个聊天机器人，请精简回答问题。避免花费多余token";

    //初始化ChatClient对象
    public LoveApp(ChatModel dashscopeChatModel) {
        //ChatMemory chatMemory = new InMemoryChatMemory();

        String fileDir = System.getProperty("user.dir") + "/chat-memory";
        FileBasedChatMemory fileBasedChatMemory = new FileBasedChatMemory(fileDir);
        this.chatClient = ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_PROMPT)
                //.defaultAdvisors(new MessageChatMemoryAdvisor(chatMemory),
                .defaultAdvisors(new MessageChatMemoryAdvisor(fileBasedChatMemory),
                        /*new MyLoggerAdvisor()*/  // 自定义日志 Advisor,可按需开启
                new ReadingAdvisor())
                .build();
    }

    //编写对话方法
    public String doChat(String message, String chatId) {
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content：{}", content);
        return content;
    }

    record LoveReport(String title, List<String> suggestions){}

    public LoveReport doChatWithReport(String message, String chatId) {
        LoveReport loveReport = chatClient.prompt()
                .system(SYSTEM_PROMPT + "每次对话后都要生成恋爱结果，标题为{用户名}的恋爱报告，内容为建议列表")
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .entity(LoveReport.class);
        log.info("loveReport：{}", loveReport);
        return loveReport;
    }

    // 在LoveApp类中添加以下方法
    public void deleteConversation(String chatId) {
        String fileDir = System.getProperty("user.dir") + "/chat-memory";
        FileBasedChatMemory fileBasedChatMemory = new FileBasedChatMemory(fileDir);
        fileBasedChatMemory.clear(chatId);
    }

    @Resource
    private VectorStore loveAppVectorStore;

    @Resource
    private Advisor loveAppRagCloudAdvisor;
    public String doChatWithRag(String message, String chatId) {
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .advisors(new MyLoggerAdvisor())
                //.advisors(new QuestionAnswerAdvisor(loveAppVectorStore))  //本地Rag知识库
                .advisors(loveAppRagCloudAdvisor)  // 应用增强检索服务（阿里百炼云知识库服务）
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content：{}", content);
        return content;
    }

    @Resource
    private ToolCallback[] allTools;
    public String doChatWithTools(String message, String chatId) {
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .advisors(new MyLoggerAdvisor())
                .tools(allTools)
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content：{}", content);
        return content;
    }

    @Resource
    private ToolCallbackProvider toolCallbackProvider;

    public String doChatWithMcp(String message, String chatId){
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .advisors(new MyLoggerAdvisor())
                .tools(toolCallbackProvider)
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content：{}", content);
        return content;
    }

    public Flux<String> doChatByStream(String message, String chatId) {
        return chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .stream()
                .content();
    }
}
